Next stop "Computing Power Sovereignty"! Macron warns that Europe's AI infrastructure lags behind China and the United States

On July 9th, French President Emmanuel Macron entered Imperial College London for a closed-door dialogue with DeepMind CEO Demis Hassabis and Mistral AI CEO Arthur Mensch, focusing on the theme "AI Action: from science to growth."

As the world focuses on the performance competition of large models, European tech leaders collectively turn their attention to a more critical moat for AI—the lack of "computing power sovereignty." Macron candidly stated during the interview, "Europe accounts for 20% of global AI computing power demand but only possesses 3%-5% of computing power supply capacity!" He admitted that Europe is heavily dependent on the U.S. and China for infrastructure such as computing power and chips, and there is an urgent need to accelerate the construction of autonomous capabilities.

DeepMind CEO Hassabis also warned, "To have a voice in global AI governance, we must maintain a technological lead." Mensch added from an entrepreneur's perspective, "If you don't participate, you can only accept the rules set by others."

Here are the key points from the interview:

• Shortcomings in Computing Power Sovereignty: Macron stated that Europe accounts for 20% of global AI computing power demand but only possesses 3%-5% of computing power supply capacity, forcing Europe to rely heavily on U.S. cloud services and chip technology;

• Competing for Computing Power Sovereignty: President Macron emphasized Europe's high dependence on the U.S. and China for AI computing power infrastructure, highlighting the need to establish autonomous computing and chip industry capabilities to reduce external reliance;

• Infrastructure Investment: The UK and France announced significant expansions in computing power, with the UK planning to increase public computing power by 20 times before 2030, and the European JUPITER supercomputer ranking fourth globally;

• Talent Retention Strategy: Macron stressed the importance of creating an environment that keeps AI talent in Europe rather than attracting them to other regions;

• Technological Discourse Power: Hassabis warned that to have a voice in global AI governance, it is essential to maintain a technological lead;

• Open Source Collaboration: Mistral adopts an open-source strategy, allowing more researchers to use and improve models, promoting scientific innovation.

The Shortcomings of Europe's AI "Computing Power Sovereignty" Are Highlighted

In the dialogue, Macron pointed out that despite France and the UK having traditional advantages in technological innovation, Europe as a whole still lags behind China and the U.S. in AI computing power and chip infrastructure. He noted that Europe only accounts for 20% of global computing power demand, but its actual computing capacity is only 3% to 5%. In the AI chip packaging sector, NVIDIA holds over 80% market share, and Europe is highly dependent on Chinese and American companies.

Macron emphasized that only by accelerating the layout of local AI factories and chip industries can Europe gradually break free from external dependence and achieve "computing power sovereignty." He stated:

Every time we train a model, we heavily rely on American cloud resources and chip technology.

To address this dependency, the UK and France announced the construction of an independent large-scale AI training platform, establishing long-term partnerships with companies like NVIDIA and Mistral to promote the coordinated development of data centers, energy systems, and AI model training in the region.

Mistral CEO Arthur Mensch validated this judgment from a practical perspective. He stated that computing power is not an isolated issue; it determines the entire model's usability, improvement, and localization deployment capabilities.

One of the reasons we create open-source models is that they are small enough for university researchers to run, allowing for new scientific research outputs.

Competing for Technological Discourse Power

Hassabis issued a clear warning during the dialogue: to have a voice in global AI governance, one must maintain a technological lead.

If you want to have a say in how AI is used and its impact globally, you must first be ahead in technology.

He pointed out that some countries are discussing regulations while others are developing products, but the real discourse power lies with those who can train models and deploy systems.

Macron echoed this sentiment, emphasizing that we can no longer fantasize about relying on others to share technology.

What we need are affordable large models, not relying on others to run large models.

Mensch added from an entrepreneur's perspective: “If you don't participate, you can only accept the rules set by others.” He emphasized that Mistral's multinational operations are precisely to avoid being constrained by the rules of other participants.

Hassabis further warned that in the AI era, every decision made by individuals, organizations, or countries now will affect the development trajectory for the next decade. This competition for technological control is essentially a competition for future discourse power.

Retaining Talent is Key

Macron candidly acknowledged the talent drain issue facing Europe during the dialogue.

Many people have been attracted elsewhere. What we need to do is create an environment that allows them to stay.

This environment refers not only to quality of life but, more importantly, to research conditions: whether researchers can conduct their work without interference, whether there is computing power to support projects, and whether they can have models that they can train and improve independently.

France has introduced three specific measures for this purpose: allowing researchers to start businesses while remaining partially employed at universities; amending intellectual property laws to make it easier for research results to exit the laboratory; and building a collaborative ecosystem between research and industry, allowing laboratories, large companies, and startups to coexist in the same ecosystem.

Hassabis shared the experience of the UK: “DeepMind has been able to develop over the past 15 years because the UK has gradually formed a supportive environment. It was difficult in the early days, but as successful cases increased, the entire ecosystem became vibrant.”

Mensch emphasized that the goal of catching up is not the technology itself but "the ability to continuously generate the rhythm of entrepreneurs." The formation of this rhythm requires policies to provide flexibility, allowing researchers to dare to act, be able to act, and survive after completing their work

Open Source Strategy Reshaping the Competitive Landscape

Mistral's open source strategy has gained special attention in discussions. Mensch explained the strategic considerations behind open source:

We create models not just for research, but to make technology truly usable, accessible to everyone, and to encourage participation in discussions.

Open source is not only a technical choice but also a strategy for discourse power. By allowing more people to participate and improve, rather than letting a few large companies monopolize usage rights, Europe aims to establish its influence in the global AI ecosystem. Hassabis believes that this diversified technological path benefits the entire industry and can create a balance against the two superpowers, allowing different voices to be heard on the global stage.

Below is the full interview (translated by AI)

Host 00:00

President Macron is about to join us on stage. So, President Macron, my first question comes from Louis Pizan regarding the pioneering work on the development of TCP and IP protocols, to Alan Turing's computational foundations.

Host 00:19

France and the UK have long been leaders in global technology and scientific advancement. How do you view the advantages of France in building upon this progress and continuing to participate in global competition in the context of an increasingly fierce global technological race?

French President Macron 00:36

Thank you very much, and thank you for giving me this opportunity. Thanks to the Minister for his remarks and your very clear project planning and commitments. Thank you to Mr. Pritzen for hosting and welcoming us at the university. I think the title you chose—“From Science to Growth”—is excellent. This may be the best answer to your question. When we look at the challenges, it is clear that, and I think this is not just because I am here, but the UK and France are likely the two countries in Europe participating in this race and leading the competition, yet we are lagging behind the United States and China. Let’s stay awake. The core issue for all of us is how to participate in the competition, and indeed, how to reduce the risks of our models and avoid dependence on solutions from the United States or China. And the first priority is science; investing in science and fundamental science is absolutely necessary.

French President Macron 01:42

I want to emphasize this point because it is very important, and I am glad you mentioned the French National Centre for Scientific Research (CNS). I know that during this visit, many research centers in France will sign cooperation agreements. But fundamental science is obviously still very important, and technological research is equally important.

French President Macron 02:04

The second point is talent cultivation. I believe both our countries are fortunate and capable of cultivating a large number of data scientists, mathematicians, and other talents. So we have the skills, and we have been accustomed to cultivating these skills in the past , and we must keep up and increase the training component in our artificial intelligence (AI) programs. Since the launch of the first AI program in 2018, we have clearly introduced additional training programs to cultivate more and more talents, as it is clear that this is one of the key issues

French President Macron 02:40

The third point is to ensure we have the right ecosystem. This is a perfect example of what we need. We need public and private laboratories, but also large companies to collaborate with these laboratories, startups, and the innovation ecosystem. I believe our two countries may be the best in Europe in traditional systems. But if we are completely honest, we are still lagging behind the United States. We must increase the number of startups. But more importantly, we need to expand the opportunities for scaling, as our investment amounts are still far below those in the United States. That is why I believe we (the UK and France) need this large AI program on both sides of the English Channel. But that is also why we need a proper European plan and the EU's Capital Markets Union. All connections and capital markets transcend borders, but having a truly vibrant ecosystem to finance more of our innovations, especially those with very high capital demands, is absolutely critical. As long as we overly rely on American investors or large public-private investments from China, it will be difficult to consolidate a proper European ecosystem and the Franco-British ecosystem. Therefore, better integration and scaling of our financing solutions is absolutely key.

French President Macron 04:19

The fourth point is about infrastructure. You mentioned the AI summit that we both announced participation in. I mean, when you are an ordinary person, the numbers you see are just crazy. I mean, just for one project, one plan, billions of funds are being invested.

French President Macron 04:41

But what we really need is computing power. As Europeans, we used to be very… we still rely on (external) computing power. For those training models, I mean, it is very difficult to rely solely on our own computing power, because… we account for 20% of the demand but only have 3% to 5% of the capacity. We are bridging this gap, and we have announced a significant increase in computing power in both the UK and France, precisely to train our models, perform calculations, and so on. But this is absolutely critical. We cannot completely eliminate our dependence in this area.

French President Macron 05:24

Why? Because when we talk about this infrastructure, you need chip packaging capabilities to build AI factories. So, we are building AI factories, we are investing, we are attracting investors, but over 80% of the market packaging is done by NVIDIA. That is why we want to attract NVIDIA. We have signed an important partnership with Mr. Haley and NVIDIA. So we are moving upstream. After that, when you focus on chips, you need Foxconn, Taiwan Semiconductor, but these are very few Taiwanese companies. So we must collaborate with these companies to mitigate the risks of our models. Otherwise, we will be completely dependent on them. So this is clearly one of the key areas where we must cooperate with them and with your country (the UK)

French President Macron 06:12

But similarly, we must also accelerate our own research, because, by the way, all these companies (packaging and foundry) have learned their technology and chip industry from Europe. The last point I want to make is to ensure that we also develop downstream, share this innovation, and this innovation, I mean, is capable of practically improving efficiency, productivity, and transforming various verticals from energy to life sciences. This is precisely where our ability to accelerate the mastery of all these innovations lies, but as you mentioned, accelerating our ability to apply AI and the capabilities described by AI in all fields is also absolutely critical. I can elaborate, but I've already spoken too long; however, this is exactly why I am very pleased to be here, because DeepMind is clearly a great example of how to make such innovations a disruptive force.

For example, the work you are doing in the life sciences field, in terms of my last point, is one of the disruptive forces that achieve greater independence, and the outcome of the AI competition may hinge on LMM. Clearly, having such a French model that is neither Chinese nor American brings opportunities for diversified supply. For many, and for me, as part of the European champions we hope to promote, this is crucial. That is why the partnership between the UK and France in these different fields is vital to me, as we face exactly the same challenges. When we talk about our talent, our laboratories, our key players, or our financing capabilities, working together is the best way to achieve critical scale.

Host 08:06

Thank you very much. Well, I think you have already talked about the competition in the field of AI. I believe one of the key reasons is also the speed of AI innovation. So perhaps we can invite Hassabis to talk about it; please share how you are coping with this speed and discuss what we need to do, not only to keep up but to get ahead.

DeepMind CEO Hassabis 08:30

Well, this is a very exciting time in the field of AI. Of course, the pace of progress is incredible, but it is also a very serious moment. I think we are at a very decisive moment. I have been working in AI for over 20 years. DeepMind was founded over 15 years ago. At that time, almost no one was working on AI. Now the whole world is working on it, and we have always believed it could be the most transformative technology ever invented by humanity. Therefore, how we build it, what decisions we make, who the leaders in this field are, and what decisions the governments in this field make.

DeepMind CEO Hassabis 09:02

Now, this will determine its direction. I am very excited about applying AI to science and leveraging it to accelerate scientific discovery and medical advancement. This is why I have been researching AI throughout my career, and we are making great progress in this area. But it is a dual-use technology and carries risks. I think, you know, I would very much like to see more dialogue at the national level to reach consensus on matters such as the minimum standards we want these AI systems to operate under I have long said that we have also had extensive discussions with President Macron, you know, possibly starting about 10 years ago. If you want to influence the direction of this debate globally, you must also be technically advanced to have a seat at the negotiating table. I believe that the UK, France, and several other like-minded countries, such as Canada and Switzerland, can come together. You know, I think if we unite with the same values, we can form a force to counterbalance the two global superpowers. And influence this debate on the global stage, I think having this voice is very important because this technology will affect everyone in the world.

Host 10:08

Thank you very much. If I may ask you a similar question, also regarding the view that the speed of innovation is both a challenge and an opportunity, how does Mistral AI view and respond to this?

Mistral AI CEO Arthur Mensch 10:22

Well, one premise for founding Mistral AI is a commitment to open science and providing open-source models to the world. Interestingly, we were actually founded as a French and British company because we registered two companies almost simultaneously. We quickly established a team here. Regarding Demis's point, we need (European) countries to have a seat at the negotiating table to innovate. If you don't innovate, you can only be limited to regulation, which is not as interesting, and you have less say in how we use this technology. Therefore, our approach there is to leverage the strengths of both countries in training talent and having great scientists. By committing to open technology and building businesses on it, I believe we have been able to accelerate and change the way we think about cloud service providers having sufficient model transparency, sufficient access, and the ability to change them. We have outperformed the mindset in this field. Since we started releasing models in 2023, we have seen that the academic community has been able to use them very widely, and in fact, the citation volume of the first model we released, Mistral High 7B, is unprecedented. The reason is that it is small enough for scientists working in universities to conduct research. Therefore, we find that by committing to open source, and doing more than the U.S. in this regard, by committing to this open technology, we are able to disseminate science and allow many new scientists to study this technology. Sometimes they come to us and start collaborating.

Host 12:06

Thank you very much. I think the debate about open source will continue and will become an important policy area that we need to balance. I think we have talked about the need for science and the importance of truly enabling scientific innovation, as well as how AI itself can help achieve this. I think the next question is, how do we bring these great breakthroughs to market? So how do we achieve "science promotes growth"? Mr. President, perhaps you could talk about how France is addressing some of these challenges regarding how to translate and bring these great scientific breakthroughs from the laboratory to the market

French President Macron 12:40

What I mean is, frankly, this has been a key challenge we have faced for decades. Historically, we have not been the best. Over the years, we have had the characteristic of being quite good in certain key fundamental sciences or reasonably good in our policies.

French President Macron 13:01

But we face challenges in technology transfer with the French National Centre for Scientific Research (CNS) and the Challenger (technology transfer). I believe that over the past two or three decades, we have indeed improved our ecosystem by creating flexibility and facilities to enhance technology transfer, refine intellectual property (IP) regulations, and create flexibility for researchers, among others. For me, it has always been a question of the ecosystem and the overall model. The issue is that as long as the people around you in your laboratory or university are peers from academia, you do not have enough incentives or role models to truly motivate you to bring innovation to market.

French President Macron 13:47

Now the situation is completely different. We passed laws at the beginning of this century that changed our regulations. But there has been a tremendous shift over the past few decades. Thanks to French Tech, here are some of my friends, but we launched this brand ten years ago. We have not only this ecosystem in France but also around the world. I find this very inspiring. Some people in the French tech scene do not come from universities. Some do not come from large companies, but some come from fundamental research. But it has created an ecosystem and some role models, providing a lot of incentives for young people, students, PhD candidates, and postdocs to really try to see how they can bring their research to market for scale and speed.

French President Macron 14:42

I believe that for me, as policymakers, what we must do is create maximum flexibility. Therefore, we must allow those who want to stay and engage in fundamental research to do so. And to remain competitive. This is precisely the direction we are working towards, as we are improving the model and will become more competitive through additional measures to retain our talent in fundamental research and universities. But we must create flexibility to allow them, if they wish to exit in some way or start a startup, or contract with the private sector to transform fundamental research into innovation, a company, and hope to become a large company in the future. So we have improved the ecosystem. We are still improving.

French President Macron 15:36

My second point is obviously about financing. I have mentioned it before, but I believe it is the key to changing the game. That is why the work done in the past few years on Qtai (possibly referring to an AI-related fund) and Samosa (samosa - should be a name of a fund or project) is very important, as we have launched specific additional plans with private financing. We have TV funds, and we are working to accelerate financing; innovation is equally critical

Host 16:00

Now it's your turn. Please talk about what major challenges we still face and what significant obstacles we need to clear in order to achieve truly thriving innovation as the world-leading founder of DeepMind.

DeepMind CEO Demis Hassabis 16:13

Well, look, I think the good news is that specifically in the UK and France, as well as the EU, we have world-class talent and world-class universities, like Imperial College and like the one we are at here (University College London). So the talent has always been here, and I have always believed that.

DeepMind CEO Demis Hassabis 16:29

Part of the issue is the ecosystem, as the president mentioned, that is improving. So, 15 years ago, it was very difficult to get funding to start any deep tech company here. But now we have some proven success stories, and DeepMind is one of them. I think it has gotten better in this regard. What we really need is grand ambition. People need to have the kind of ambition that Arthur has to pursue. We have proven that it is possible. I think there may have been a lack of role models 20 years ago.

DeepMind CEO Demis Hassabis 17:00

Now we have some role models, and the next generation is continuously increasing. We are very proud of our successes, like our people XT, mine person (possibly referring to DeepMind members), and apogee. You know, I think it just takes a few success stories to start building an ecosystem. That's how Silicon Valley started. Then you let these entrepreneurs mentor others and reinvest, and you can reach critical mass. I think Paris and London have especially reached that critical mass now, and we must continue to build on that. With government support, I believe we can make amazing progress in the next 10 years.

Host 17:31

Thank you. Arthur, the same question for you. What changes would you like to see? Or what practices do you think have truly been effective in promoting thriving innovation in this field in the past?

Mistral AI CEO Arthur Mensch 17:40

Well, I think, first of all, as Demis said, it's about the ecosystem and it's about waiting. Because you need the accumulation of several generations to get started, grow, and become larger and larger. If you look at the United States, they probably started about 40 years earlier than us. So, we are catching up faster than that, but you still need multiple generations of entrepreneurs to follow the innovation cycle. I think in the field we are talking about, which is today's AI, there is a very big characteristic: it is both a deep tech field where we still need a lot of investment to solve fundamental, very hard problems; but at the same time, it is also a very good business now because existing technologies are extremely useful for enhancing corporate productivity and driving growth. So this is both an opportunity and a challenge for us because on one hand, we need to continue investing in deep tech to stay competitive and invent new technologies On the other hand, we need to transform existing technologies into products and solutions that can bring value to businesses. Therefore, we need to think from first principles, but the benefit is that it also brings new sources of financing, as it involves growth. This means there are meaningful business models, and it has been proven that making deep tech investments in the AI field is reasonable, which may have been difficult to justify 15 years ago. Thus, to some extent, the AI field has become very similar to biotechnology, where you invest a lot of money and later have a business model. So this is a huge opportunity, but it also brings a lot of competition, as clearly, many companies are simultaneously operating businesses and developing technologies. This is why we say that progress today is accelerating.

Host 19:21

Thank you very much. It is very clear to me that France and the UK face many common challenges and opportunities. Many of the suggestions put forward by the panel are precisely the kinds of interventions that the UK government has been taking to address some of these challenges. I would like to slightly shift to recognizing that AI is indeed a cross-border technology, a global technology. Mr. President, I would love to hear your thoughts on how Europe can build an innovative ecosystem and unleash the potential of AI, echoing your earlier comments about our competition with other major powers in this field.

French President Macron 20:00

I completely agree with your point. This is clearly a cross-border innovation, and not just that, I mean, AI cannot be seen as a single industry. This is a huge transformation that will affect all potential fields, a deep change in economic structure, and through the nexus with different fields such as life sciences and energy, it will clearly lead us to breakthrough innovations. Therefore, viewing AI as a global trend is the only way.

French President Macron 20:36

When you examine the issues at hand, we must maintain a global approach, as maintaining a global approach is very important because it is the most effective way to address our critical issues. If we want to tackle our energy challenges and life sciences challenges, we must gather all potential talents and innovations globally. The difficulty lies in that we face some exclusivity in certain key pillars or blocks of the value chain. This is exactly what we are facing, and I mentioned this in my speech yesterday in Westminster; I talked about risks, but this is precisely the crux of the matter. I do not want to decouple the European perspective from the rest of the world. That makes no sense. But we should just be very clear-eyed about the world we are in today. Are we sure that all countries in the world will super cooperate with us? When you have a breakthrough innovation, you say, well, this is a global innovation, it is open science.

No, I have no doubt about that. No question. Let's see what happens in the coming days and weeks with our American friends in the pharmaceutical companies. Two years ago, no one could have imagined what is happening today in tariffs and trade. If we are completely clear-headed today, we are overly reliant on computing power Over-reliance. So clearly, we must work very hard. Therefore, we need to promote and clearly support the fact that this is a global approach, a cross-border innovation trend, but we must reduce our risks in computing power, which is the first point. We must reduce our risks in chips because we are overly reliant on some Taiwanese companies, and we must build our own capabilities in energy. I didn't mention this before, but it is absolutely critical. In terms of energy, we are good partners with your country (the UK). Tomorrow at the summit, we will return to this key issue. But if you cannot produce low-carbon, dispatchable, and competitive energy in the long term, you cannot participate in this race because data centers have extremely high demands for computing power in terms of energy.

One of our major advantages in France is that in 2024, we exported 90 terawatt hours of electricity, mainly based on our long-standing nuclear energy. So this is one of the key projects. Across Europe, we must clearly follow up on our strategy to build and produce more low-carbon dispatchable power. This is part of the competition and relates to talent. We have cultivated a large pool of talent. This is part of our advantage. All three of us mentioned this, but honestly, a lot of our talent has been attracted elsewhere. Therefore, it is very important to deploy good policies to retain them or create good incentives to bring them back home. What is happening in the American scientific community, I think, is also a good momentum for us. I don't want to be sarcastic about this because it is terrible for science, climate, etc. But as Europeans, providing a prospect that Europe is more attractive than elsewhere for those who wish to commit to climate and AI research and work in an academic environment where they are free and we believe in academic freedom and free research is important. I mean, this is Europe's perspective. Now it seems very attractive because it is being challenged elsewhere.

So, here are some key factors, even if this is a global approach, we should not be too naive. This is somewhat our (Europe's) model, and this is exactly where we must work together because we face the same situation. Let me share with you a very politically correct, post-Brexit issue. But if I follow the narrative logic of Brexit correctly, the whole story is that without the EU, it would be easier to solve our problems. I'm not sure. Are you solving immigration issues better than when we were together?

I am sure of one thing: building closer ties is the best way to address key issues in research, science, AI, etc., Harry. That is why I feel that the U.S. is not embracing you, saying you are my best friend, I will give you super prospects in pharmaceuticals, and in trade, it won't be better than us. You are negotiating your agreements. We are trying to negotiate, but only 10 percentage points are not good for anyone. So I do believe that even a larger scale could be very attractive. Sometimes I think that having close friends across the Channel, as well as predictable and mutually respectful old friends, is also good for innovation

Host 26:26

I was about to say on behalf of everyone present that we are absolutely pleased to be able to rely on the "European Horizon" program (from the perspective of research and innovation).

Host 26:39

If possible, perhaps I could talk a bit more globally at the end. We held the London AI Summit and the Paris AI Summit. Next year, we will hold the Indian AI Impact Summit in India.

Host 26:52

If possible, Arthur, please start, and then we will go down the line to understand what you would like to see on the summit agenda and what outcomes you hope to achieve at that summer summit, which would be a great way to conclude.

Mistral AI CEO Arthur Mensch 27:04

I think we need to start thinking about how AI affects democracy and how this technology, which brings many benefits, can be utilized in a bidirectional manner to meet citizen needs. Therefore, what we as a company have started doing is truly collaborating with public service agencies to put technology in the hands of citizens, but there are also ways in which this technology could be used as a tool for inference, which may not be transparent enough for the upcoming elections. So personally, I hope to see this on the agenda because I believe it will impact the upcoming elections. I think this risk is accelerated by some form of power concentration among a few American companies. Therefore, we need to examine this, and we need to ensure there is enough transparency. That’s one aspect. Then I want to say, let’s look at the benefits, especially in India, and see how it can help. I’m thinking this is a technology that can facilitate access to services, including better healthcare, better employment, better connection with the state, and better acceptance of national policies, all of which can be promoted by AI. We can delve deeper into it and propose very specific recommendations based on the science we are doing.

Host 28:29

Thank you. Dennis?

DeepMind CEO Demis Hassabis 28:31

Look, I think the first two times, the first Bletchley Park summit and the Paris summit were very successful, and I am very much looking forward to the next Indian summit. This kind of international dialogue is crucial for AI. I completely agree with what the president said about seeing the cooperation between the UK, France, and the UK with the EU rising. I think this will be extremely important in many areas, especially in AI, you know, we have these shared value systems trying to balance opportunities and risks wisely. We always talk about being bold in seizing opportunities in science and medicine. AI will bring incredible things and energy, and we must embrace it economically and scientifically. But we also need to deploy it responsibly for the benefit of the world. I think the UK and France convened these two summits, and the next summit will also play an important role. So I am very much looking forward to the next summit

Host 29:26

Thank you. Mr. President, if possible, please share your thoughts on the summit.

French President Macron 29:30

Look, I completely agree with what was just said. I think the significance of the first summit (referring to the London summit) lies in having a global discussion. It is very important not to divide the world into North and South. We should not separate ourselves from the white side, China, and other parts of the world.

French President Macron 29:52

I believe this series of global discussions primarily allows people to come together in some way, sharing the same views on opportunities and major concerns. The summit is a unique opportunity for researchers, scholars, entrepreneurs, investors, and policymakers to communicate. If we want to clearly guide—if possible guide—and accompany AI innovation in the direction we hope for (by the way), and resynchronize our agenda, because we see differences in innovation, regulation, and complete lack of regulation in different regions of the world. If we truly want to participate in this competition and make artificial intelligence serve humanity, it is very important to share this discussion and first ensure that AI is designed in a way that moves in the right direction. And that policymakers have a sufficient understanding and grasp of all these innovations and explore together how to build the most efficient and ethical ecosystem.

French President Macron 31:16

Therefore, having unique discussions on so many topics, ranging from India to Canada, is very important to me. So that is why I, like my two friends, am very excited about the prospect of holding a new summit in India. By the way, I want to thank you because you initiated the first summit in the UK, which is very important, and this kind of cooperation is absolutely crucial not only between our two countries but globally.

Host 31:46

Okay, thank you very much. I think it is clear that these dialogues can and must continue. I want to thank our panel members, and I hope you found this a wonderful discussion about the future of AI innovation. I think it also highlights how important it is for policymakers and innovators to communicate with each other as we explore this truly exciting but also challenging new technology. Please give a round of applause to our panel members. If possible... (end)